examples of aggregated data - Search
  1. Data aggregation: Definition, examples, & use cases …

    • The four most common types of data aggregation are: 1. Time aggregation collects all data from a single source during a set period of time. If you want to know how many customer purchase… See more

    3 Benefits of Data Aggregation

    If raw data is a puzzle piece, then aggregated data is the completed puzzle, providing you … See more

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    Data Aggregation Use Cases in 2023

    The data aggregation process is industry-agnostic, with existing use cases in retail, healthcare, and many other verticals. A common thread throughout these use cases is pe… See more

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    Level Up Your Data with Twilio Segment

    The Segment CDP allows startup and enterprise companies to make the most of their customer data. As opposed to a data management platform (DMP), the CDP aggregates… See more

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  3. Examples of aggregated data include12345:
    • Overall price level or overall inflation rate in macroeconomics
    • Total sales of a business over a period of time
    • Pharmaceutical trial data
    • Buyer metrics (client engagement, website visits, user demographics)
    • Financial analysis
    • Government policy analysis
    • Academic research
    • Data aggregation tools such as spreadsheets, database programs, software tools, and business intelligence platforms.
    Learn more:

    In economics, aggregate data or data aggregates are high-level data that are composed from a multitude or combination of other more individual data, such as:

    • in macroeconomics, data such as the overall price level or overall inflation rate; and
    en.wikipedia.org/wiki/Aggregate_data
    A simple example of aggregated data is the sum of your business’s total sales in the past three months. Once the data is aggregated, your organization's data professionals can easily use it for analysis, reporting, marketing campaigns, and decision-making.
    airbyte.com/data-engineering-resources/data-aggr…

    Aggregate data examples

    • Pharmaceutical trials Another situation where aggregate data is crucial is in pharmaceutical trials. ...
    dataconomy.com/2022/03/31/what-is-aggregate-data/
    Here are some examples of data aggregation in action: A retail business aggregating customer data from its POS system, website, and mobile app to gain insights into its customers’ buying habits. A financial institution collecting data from multiple accounts to provide an overview of a customer’s financial status.
    golayer.io/blog/business/what-is-data-aggregation/
    Here are some examples: Spreadsheets like Microsoft Excel and Google Sheets Database programs like Oracle SQL and MySQL Software tools like Tableau and Sisense Business intelligence (BI) platforms such as IBM Cognos, SAP BusinessObjects, and SAS BI
    www.splunk.com/en_us/blog/learn/data-aggregatio…
     
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  5. What is data aggregation? (Types, use cases, and tools)

     
  6. What Is Data Aggregation? (Examples + Tools)

    WEBJul 25, 2024 · In the case of an analyst or engineer, data aggregation involves ingesting raw data from various databases or data sources into …

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    WEBPractical Examples of Aggregated Data. Data aggregation is invaluable for many fields, including finance, business strategy, product planning, pricing strategies, operations optimization, and marketing.

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  11. What is Data Aggregation? : A Comprehensive Guide …

    WEBFeb 4, 2021 · Data Aggregation can include processes such as collecting data about a particular product based on age, profession, location (etc), collecting data from a company/competitor’s website to analyze their …

  12. The 2024 Guide to Data Aggregation (+ Tools and …

    WEBJul 26, 2023 · These examples demonstrate the versatility and importance of data aggregation in different domains. By effectively aggregating and analyzing data, organizations can uncover valuable insights, make data …

  13. What is Data Aggregation? - TechTarget

  14. What is Data Aggregation? Process, Benefits, & Tools …

    WEBMay 26, 2023 · Aggregation is done on varying scales, and data can be aggregated over different time frames—for example, a business might gather data from a few hours of website traffic to monitor customer …

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